most citedAn Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning

27 citations · 37 across the 3 of their papers we have counts for

collaborators

8 papers

eess.IV20192 cited

Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation

Farhan Akram, Vivek Kumar Singh, Hatem A. Rashwan +4

In this paper, we propose an efficient blood vessel segmentation method for the eye fundus images using adversarial learning with multiscale features and kernel factorization. In t…

eess.IV201927 cited

An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning

Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser +5

This paper proposes an efficient solution for tumor segmentation and classification in breast ultrasound (BUS) images. We propose to add an atrous convolution layer to the conditio…

cs.LG20198 cited

Fence GAN: Towards Better Anomaly Detection

Cuong Phuc Ngo, Amadeus Aristo Winarto, Connie Kou Khor Li +3

Anomaly detection is a classical problem where the aim is to detect anomalous data that do not belong to the normal data distribution. Current state-of-the-art methods for anomaly…

cs.CV2018

Breast Tumor Segmentation and Shape Classification in Mammograms using Generative Adversarial and Convolutional Neural Network

Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romani +8

Mammogram inspection in search of breast tumors is a tough assignment that radiologists must carry out frequently. Therefore, image analysis methods are needed for the detection an…

cs.CV2018

REFUGE CHALLENGE 2018-Task 2:Deep Optic Disc and Cup Segmentation in Fundus Images Using U-Net and Multi-scale Feature Matching Networks

Vivek Kumar Singh, Hatem A. Rashwan, Adel Saleh +4

In this paper, an optic disc and cup segmentation method is proposed using U-Net followed by a multi-scale feature matching network. The proposed method targets task 2 of the REFUG…

cs.CV2018

Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network

Vivek Kumar Singh, Hatem Rashwan, Farhan Akram +7

This paper proposed a retinal image segmentation method based on conditional Generative Adversarial Network (cGAN) to segment optic disc. The proposed model consists of two success…